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Course Reviews on RMSC4002 Data Analysis in Finance and Risk Management Science
Shared by Anonymous
2018-08-25
Professor: LEUNG, Pui Lam
Assessment
There will be three assignments totally worth 15% and a group project worth 30% with the remaining 55% for the final (closed book) examination.Teaching Skills & Others
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Shared by Anonymous
2018-08-25
Professor: LEUNG, Pui Lam
Course Description
logistic regression, PCA, classification tree, neural network，比CS系的machine learning有逻辑性Assessment
三次作业，project，期末考试Teaching Skills & Others
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Shared by Anonymous
2018-08-25
Professor:
Course Description
modern data analysis techniques that are commonly used in financial and risk management. Topics include applications of multivariate techniques such as principal component and canonical correlation to asset management, Value-at-Risks, GARCH model in estimating volatility, time series methods in term-structure analysis, and data mining methods such as logistic regression, k-means clustering and classification tree, and neural network.Assessment
30%group project( process a database) three assignments totally worth 15%, 55% for the final (closed book) examinationTeaching Skills & Others
Login is required for this action, please click here to login or register a new account.
CUHK
RMSC4002 Data Analysis in Finance and Risk Management Science